Nowadays, digital pathology plays a major role in the diagnosis and prognosis of tumours.
Unfortunately, existing methods remain limited when faced with the high resolution and size …

Colorectal adenocarcinoma originating in intestinal glandular structures is the most common
form of colon cancer. In clinical practice, the morphology of intestinal glands, including …

The morphology of glands has been used routinely by pathologists to assess the
malignancy degree of adenocarcinomas. Accurate segmentation of glands from histology …

Deep learning (DL) has achieved state-of-the-art performance in many digital pathology
analysis tasks. Traditional methods usually require hand-crafted domain-specific features …

Object segmentation and structure localization are important steps in automated image
analysis pipelines for microscopy images. We present a convolution neural network (CNN) …

Simple Summary The histopathological image is widely considered as the gold standard for
the diagnosis and prognosis of human cancers. Recently, deep learning technology has …

The increasing adoption of the whole slide image (WSI) technology in histopathology has
dramatically transformed pathologists' workflow and allowed the use of computer systems in …

In histopathological image analysis, the morphology of histological structures, such as
glands and nuclei, has been routinely adopted by pathologists to assess the malignancy …

In this paper, we present a stochastic model for glandular structures in histology images of
tissue slides stained with Hematoxylin and Eosin, choosing colon tissue as an example. The …

Objectives With the objective of bringing clinical decision support systems to reality, this
article reviews histopathological whole-slide imaging informatics methods, associated …